@article{AMJ4402,
author = {Renming Hu and Ying Xie and Bin Lu and Qiang Li and Fengling Chen and Lianxi Li and Ji Hu and Ying Huang and Qin Li and Weiwei Ye and Rumei Li and Naijia Liu and Jinya Huang and Zhaoyun Zhang and Linuo Zhou and Min He and Weihu Fan and Jie Liu and Jie Wen and Lili Chen and Yehong Yang and Yiming Li and Daiming Fan and Xixing Zhu},
title = {Metabolic inflammatory syndrome: a novel concept of holistic integrative medicine for management of metabolic diseases},
journal = {AME Medical Journal},
volume = {3},
number = {4},
year = {2018},
keywords = {},
abstract = {Background: The clinical value of the clustering of metabolic diseases linked by the common pathogenesis of metabolic inflammation has not been clarified.
Methods: We named the cluster of metabolic inflammatory diseases as ‘metabolic inflammatory syndrome (MIS)’ and included atherosclerosis, type 2 diabetes (T2D), non-alcoholic fatty liver disease (NAFLD) and obesity/overweight as its components. We studied the participants with T2D from six medical centers in China (4,711 participants). MIS, metabolic syndrome (MS) defined by Chinese Diabetes Society and coronary heart disease (CHD) were assessed according to records from the medical centers. We calculated the detective rate of MIS and analyzed its risk for CHD by binary logistic analysis, comparing with MetS.
Results: In the participants with T2D, MIS had a detective rate of 96.2%, more highly than MIS (57.0%). MIS components had high detective rates (atherosclerosis: 80.9%, NAFLD: 57.3%, obesity/overweight: 61.7%), compared with MetS components (hypertension: 64.4%, dyslipidemia: 38.2%). MIS had a greater odds ratio to predict CHD than MS [MIS: odds ratio, 4.71; 95% confidence interval (CI), 2.31 to 9.62; P},
issn = {2520-0518}, url = {https://amj.amegroups.org/article/view/4402}
}